24 of 24 Permanent LangGraph Jobs in London

enterprise stack. Hands-on mastery of core GenAI frameworks (e.g., LangChain, LlamaIndex) and practical experience with Agentic AI frameworks and concepts (e.g., AutoGen, CrewAI, LangGraph). Strong working knowledge and practical deployment experience on at least one major cloud platform (AWS, Azure, GCP), including their AI/ML services. Strong ...

equivalent Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama ...

equivalent Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama ...

Stack: Hands-on experience with Amazon Bedrock APIs, SageMaker (Training Jobs, Inference Endpoints), and Vector Databases. · Frameworks: extensive experience with LangChain, LlamaIndex, or LangGraph for building agentic workflows. · LLM Techniques: Practical experience with Prompt Engineering (Chain-of-Thought, ReAct), RAG optimisation, and model evaluation techniques. Advantageous Skills · Middleware Integration: Practical ...

source, or industry impact). Technical Excellence Expert Python and modern ML frameworks (PyTorch, TensorFlow). Strong experience with Generative AI tooling (e.g. LangChain, LangGraph or similar). Deep understanding of LLMs, prompt engineering, RAG, vector databases, evaluation, and security. Hands-on experience with fine-tuning, deploying, and monitoring large ...

startup environment. Proven track record building and deploying production-grade agentic systems — ideally automating complex, multi-step workflows. Hands-on experience with Mastra, LangChain, LangGraph, Vercel AI SDK, or similar agent orchestration tools. Strong understanding of LLM evaluation, prompt design, and domain-specific model tuning techniques. Deep understanding of large ...

maintainable systems What You’ll Bring: Strong Python skills and production-grade coding experience Proven track record shipping LLM-powered systems (LangChain/LangGraph or similar) into production Hands-on experience with AI agents, agentic workflows, and multi-step reasoning Experience designing and implementing RAG systems with real-world impact ...

discipline • Strong Python proficiency and hands-on experience building with LLMs (prompt engineering, RAG, function calling, agent frameworks) • Experience with agent orchestration frameworks (e.g., LangGraph) • Strong software engineering fundamentals such as writing clean code, version control, testing • Excellent communication skills and comfort working in fast-paced, cross-functional teams Preferred ...

experience deploying LLM or agent-based systems into production Solid engineering fundamentals across orchestration, memory, deployment, and monitoring Experience with tools/frameworks like LangGraph, ReAct, CoT — or ability to build systems from first principles Familiarity with PyTorch/TensorFlow, RAG pipelines, vector DBs, and modern infra Background in startups ...

Models (LLMs) and their working principles . Knowledge of Agentic AI concepts and workflows. Preferable hands-on experience or understanding of Crew.AI, LangChain, and LangGraph for agent development . Awareness of protocols used in agentic systems (MCP ) . Basic programming skills in Python . Preferable hands-on experience with agentic ...

systems that are robust, scalable, and client-ready. Key Responsibilities Lead Agentic DevOps Strategy: Define and implement scalable DevOps frameworks for agentic systems using LangGraph, Crew AI, Autogen, and other orchestration tools. Framework Development: Build reusable scaffolding for agent lifecycle management, orchestration, monitoring, and metering. Cloud-Native Deployment: Architect ...

React/Next.js Experience building and operating scalable, secure systems - you understand infrastructure, observability and deployment pipelines Experience with AI agent orchestration frameworks (LangGraph, OpenAI Agent SDK, or similar) Strong architectural judgement - you'll be making foundational decisions about the stack, data model and system design Comfortable with security ...

/CD pipelines. 🤖 You have 2+ years building and shipping AI agents and LLM-powered systems in production, including end-to-end orchestration (LangGraph or similar). 🔍 You have strong RAG experience. Structuring unstructured data, making it queryable by LLMs, hands-on with vector databases (Pinecone, pgvector, or similar). ...

applications with a strong backend emphasis Strong command of React/Next.js and Python/TypeScript Experience with AI agent orchestration frameworks (e.g. LangGraph, OpenAI Agent SDK) The architectural judgment to make confident decisions on a fast-moving, greenfield stack A background in high-growth, VC-backed startups — you thrive ...

like a product engineer Enjoy working in small, high-energy teams Bonus Points For: Experience with Postgres, Prisma, GraphQL, Next.js Exposure to LangChain/LangGraph/AI-driven workflows Building something end-to-end yourself (side project, startup, OSS) What You’ll Be Doing: Building features from scratch - schema ...

Agentic AI Engineer (LangChain LangGraph RAG LLM) London/WFH to £90k Do you want to work on cutting edge AI technology being used in the real world? You could be progressing your career as an Agentic AI Engineer at a successful and growing technology company that have recently received ...

Development: Building retrieval systems using vector databases Core RAG Components & Optimization : Doc Chunking , Embeddings , Parallel Processing , Agent building and A2A Orchestration & Engineering : Orchestration, LangChain , LangGraph , LangFlow , LangFuse , MCP GraphRAG : Knowledge graphs ontology and without ontology Model QA &Testing ...

technical stakeholders. Awareness of the ethical and safety considerations in deploying AI systems. Desirable: Experience with agentic AI frameworks (e.g. AutoGPT, CrewAI, LangGraph, ReAct). Background in conversational design, human-AI interaction, or reinforcement learning. Familiarity with RAG, vector databases, or simulation environments. ...

Architecture Own end-to-end delivery of AI-native programs - from architecture through production deployment Design and build multi-agent orchestration systems using LangChain, LangGraph, CrewAI, or equivalent Integrate agent systems with enterprise surfaces: APIs, ERPs, CRMs, data platforms - not toy datasets Define agent topology: tool routing, memory strategy, state … tooling before the hype catches up Contribute to internal knowledge bases, reusable frameworks, and accelerators Technical Skills Required Proven experience of: Agent Orchestration: LangChain, LangGraph, CrewAI - not just conceptual Agentic Coding Tools: Claude Code CLI, Cursor, OpenAI Codex, Copilot RAG & Vector Stores: Chroma, Weaviate, Pinecone, know where RAG breaks ...

multi-agent systems and LLM orchestration patterns. If you've built and shipped complex agentic workflows end-to-end, this one's for you. ▸ LangGraph · Pydantic AI · Agent SDK · LLMOps 2. Staff SE – Information Extraction Owning ML models and pipelines that extract structured knowledge from complex, unstructured documents at scale. … Terraform, CI/CD • A collaborative leadership style — mentoring engineers, shaping best practices ────────────────────────── Core stack: Python · Rust · Java · Amazon Bedrock · SageMaker · Vertex AI · LangGraph · Pydantic AI · LangFuse · MLFlow · Databricks · Datadog · Claude Code · Docker · K8s · Terraform · Vector DBs · Graph DBs ────────────────────────── London hybrid (2 days/week) Competitive Salary and benefits ...

refine (not static pipeline RAG). Familiarity with patterns such as CRAG (Corrective RAG), Self-RAG, and Adaptive RAG. ● Proficiency with LangChain/LangGraph for building retrieval agent graphs, tool-augmented retrieval, and self-reflective RAG loops. ● Strong Python skills — async programming, type safety (Pydantic), and building production services. … text, regulatory language). ● Familiarity with data mesh/data product architectures in the context of serving retrieval use cases. Technical Stack ● Retrieval Orchestration LangGraph - LangChain, Pydantic.AI ● Vector Databases - Databricks Vector Search, Pinecone/Weaviate/Milvus/pgvector ● Knowledge Graphs - Neo4j, Amazon Neptune, or TigerGraph ● Data Platform - Databricks (Delta ...

Agentic AI Engineer (LangChain LangGraph RAG LLM) London/WFH to £90k Do you want to work on cutting edge AI technology being used in the real world? You could be progressing your career as an Agentic AI Engineer at a successful and growing technology company that have recently received … 2.1 or above from a top tier university (e.g. Russel Group) You have strong Python skills You have experience with LLM orchestration frameworks: LangChain, LangGraph, CrewAi, AgnosAI You have experience with vector databases: Pinecone, Weaviate and retrieval optimisation: OpenSearch, FAISS, Chroma You have LLM evaluation experience: DeepEval, Langfuse (or similar ...

Mission Design and scale a commercial agent ecosystem , enabling smarter, faster decision-making across multiple domains. Tech Stack Snowflake | Python | OpenAI/Claude APIs | LangGraph/CrewAI | dbt | SQL What we’re looking for Experience building production AI/multi-agent systems (LangChain, LangGraph, CrewAI, AutoGen, etc.) Strong Python engineering ...

data). Collaborate directly with traders/analysts—translate ambiguous questions into shippable solutions; communicate insights clearly. Implement LLM/agentic workflows: prompt engineering, LangGraph orchestration, MCP integrations, tool calling, retrieval, and guardrails. Productionize solutions with testing, observability, versioning, and documentation. What we’re looking for Hands‐on Databricks + … orchestration, performance tuning). Strong statistics/economics/data science fundamentals for market time‐series. Experience building LLM solutions (prompting, retrieval, agent flows; LangGraph, MCP) and integrating with trading data/services. Experience with CI/CD, Terraform, MLflow/feature stores, vector DBs, and governance (PII handling, data ...